Heat Transfer Modelling with Physics-Informed Neural Network (PINN)
The numerical simulations of partial differential equations aid us in studying the nanofluid flow in the porous media, the analysis of the dispersion of pollutants, and many other physical phenomena. However, to simulate such phenomena requires tremendous computational power, and it increases with t...
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| 主要な著者: | , , , , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Springer Science and Business Media Deutschland GmbH
2022
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| オンライン･アクセス: | http://scholars.utp.edu.my/id/eprint/34088/ https://www.scopus.com/inward/record.uri?eid=2-s2.0-85140231783&doi=10.1007%2f978-3-031-04028-3_3&partnerID=40&md5=6dda30d6c6fb1d7efa59ee36502b4c34 |
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